GCP Data Scientist
Capgemini (company site, opens in a new tab)5–7 yrsBengaluruHybridDirect career pageEst. 18–30 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build, train, deploy, and monitor scalable AI/ML models using Google Cloud Platform services like Vertex AI, BigQuery, Cloud Storage, and Dataflow.
- Develop predictive models and data science solutions leveraging Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Collaborate with cross-functional teams to translate business problems into analytical and AI-driven solutions impacting business outcomes.
Minimum Requirements
- 5 to 7 years of experience in Data Science, Machine Learning, and AI.
- Strong hands-on experience with Google Cloud Platform (GCP) AI/ML services including Vertex AI, BigQuery, Cloud Storage, and Dataflow.
- Proficiency in Python and machine learning libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Work Experience Required: 5 to 7 years in relevant domains.
Ideal Candidate Profile
- Experienced in end-to-end ML lifecycle management including model deployment and MLOps on cloud-native platforms.
- Comfortable working with both structured and unstructured datasets to build predictive and analytical solutions.
- Able to collaborate effectively with cross-functional teams and translate complex business requirements into AI/ML models.